Job Description Summary

Job Description

Roles and Responsibilities

Platform & Application Development

• Architect develop and maintain scalable backend services and REST APIs in Python with clean modular code and adherence to best practices.
• Build and optimize data processing workflows using Python/SQL for large-scale industrial datasets from historians SCADA APM CMMS/EAM and telemetry systems.
• Develop and support lightweight frontend/UI components required for visualization configuration and user interactions.
• Implement tagging signal mapping and data integration logic for analytics-related asset workflows at the APM level (without mentioning any specific project/tool names).

Cloud Deployment & DevOps

• Lead deployment of analytics services and microservices on AWS using EKS EC2 S3 Lambda RDS and related cloud components.
• Collaborate with orchestrator/platform engineering teams to integrate services automate deployments manage environments and ensure system resilience.
• Establish CI/CD pipelines environment strategies (dev/test/prod) and automated testing frameworks for smooth releases.
• Ensure robust monitoring logging alerting and performance tuning of deployed services.

End-to-End Ownership

• Serve as the primary technical owner of the software solution throughout its lifecyclefrom architecture and development to production deployment and ongoing support.
• Collaborate with domain SMEs data scientists and product staff to understand requirements and translate analytical workflows into production-ready applications.
• Lead debugging optimization and continuous improvement efforts handling high-priority issues with a root-cause-driven approach.
• Ensure security scalability and reliability standards are met across the full stack.

Collaboration Documentation & Quality

• Work closely with data/platform engineering teams to ensure data quality lineage interoperability and system compatibility.
• Produce clear technical documentation deployment guides API specs and architectural diagrams.
• Uphold code quality standards using version control code reviews automated testing and best practices in software design.
• Participate in cross-functional meetings technical planning sessions and provide mentoring/support to junior engineers.

Innovation & Continuous Improvement

• Contribute to POCs that explore automation orchestration efficiency API optimization and integration enhancements.
• Experiment with new tooling cloud-native components and architectural patterns to improve performance and reliability.
• Actively identify opportunities to reduce manual intervention through orchestration automation and configuration-driven workflows.

Required Skills & Experience

• 58 years of hands-on software engineering experience ideally in industrial analytics cloud engineering or platform development.
• Strong proficiency in Python SQL REST API development and backend microservice architecture.
• Experience deploying applications on AWS including EKS/Kubernetes containers IAM networking logging monitoring and security best practices.
• Exposure to front-end development (React/Angular/Vue or lightweight UI frameworks).
• Strong understanding of ETL/data ingestion from industrial systems (historians SCADA APM CMMS/EAM) is a plus.
• Ability to work with orchestrator teams manage deployments troubleshoot cloud-native services and lead solution implementation end-to-end.
• Knowledge of asset-heavy domains (Oil & Gas Power Generation Renewable LNG) and understanding of maintenance/operations workflows is advantageous.
• Excellent communication technical documentation and cross-functional collaboration skills.

Education Qualification

• Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math) with advanced experience.

Additional Information